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Interview Guide Jul 17, 2026 13 min read

Disaster Recovery Architecture: Defining RPO, RTO and Automated Failover

When an entire cloud region goes dark. How to design resilient disaster recovery architectures, define realistic RPO/RTO objectives, and automate failover safely.

Interview GuideDisaster RecoveryRPORTOHigh Availability
HFHLDForge Architecture TeamPrincipal Cloud Infrastructure Architect

1. RPO and RTO Fundamentals

Recovery Point Objective (RPO): The maximum acceptable amount of data loss measured in time (e.g. 'We can tolerate losing at most 5 minutes of data').

Recovery Time Objective (RTO): The maximum acceptable duration of service downtime before restoration (e.g. 'The system must be fully operational within 15 minutes of an outage').

2. Disaster Recovery Strategy Spectrum

1. Backup & Restore (Cold Standby): Cheapest, highest RTO/RPO (hours/days).

2. Pilot Light: Core databases replicate continuously to standby region; compute instances are turned off and spun up via Terraform during disasters (RTO: 10-30 mins, RPO: <1 min).

3. Warm Standby: Scaled-down compute fleet runs continuously in standby region, ready to scale up via autoscaling (RTO: minutes).

4. Active-Active Multi-Region: Full capacity serving traffic in both regions simultaneously (RTO: near zero, RPO: near zero, but highest operational cost).

3. Split-Brain Prevention & Fencing

During cross-region network partitions, both regions might assume the other has failed and promote their local databases to Primary. We prevent split-brain using an odd-numbered witness quorum (e.g. ZooKeeper/Consul nodes across 3 regions) and fencing tokens.

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Written by HLDForge Architecture Team

Principal Cloud Infrastructure Architect

The HLDForge Architecture Team publishes practical engineering guides, real-world case studies, and high-concurrency blueprints to help engineers build scalable and fault-tolerant software.

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